The Experts below are selected from a list of 223722 Experts worldwide ranked by ideXlab platform
Ross Baldick - One of the best experts on this subject based on the ideXlab platform.
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Generation Planning Using a Modified Screening Curve Method to Account for Planned Outage
2019 IEEE Power & Energy Society General Meeting (PESGM), 2019Co-Authors: Tong Zhang, Ross BaldickAbstract:The Screening Curve Method (SCM) is a simple, fast and powerful model that estimates the least-Cost Generation mix. Many developments have been made in recent years for SCM modeling. One limitation of SCM is the lack of representation of outage issues in the Generation system. The outages can change the operations of the power units, which can consequently change the optimum of the Generation mix. This paper proposes approaches for incorporating outage issues in SCM. Furthermore, an ERCOT year 2030 case is simulated with and without outages, and the results are analyzed.
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Consideration of Existing Capacity in Screening Curve Method
IEEE Transactions on Power Systems, 2017Co-Authors: Tong Zhang, Ross BaldickAbstract:The screening curve method (SCM) is an intuitive and fast model that estimates the least-Cost Generation mix for Generation planning purposes. It calculates an economically adapted Generation mix for a target load duration curve within a few seconds, but lacks many detailed considerations of the Generation system. In order to improve SCM, many developments have been made in recent years. However, one of the biggest limitations had always been that the SCM assumed all capacity to be new with no existing capacity. This drawback made SCM less useful compared to other Generation planning models. In this paper, we develop a direct way to model existing capacity in SCM. The proposed method is studied in this paper and is illustrated with an example. Finally, an ERCOT year 2030 case is simulated.
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Stochastic Generation Capacity Expansion Planning Reducing Greenhouse Gas Emissions
IEEE Transactions on Power Systems, 2015Co-Authors: Heejung Park, Ross BaldickAbstract:With increasing concerns about greenhouse gas emissions, a least-Cost Generation capacity expansion model to control carbon dioxide (CO2) emissions is proposed in this paper. The mathematical model employs a decomposed two-stage stochastic integer program. Realizations of uncertain load and wind are represented by independent and identically distributed (i.i.d.) random samples generated via the Gaussian copula method. Two policies that affect CO2 emissions directly and indirectly, carbon tax and renewable portfolio standard (RPS), are investigated to assess how much CO2 emissions are expected to be reduced through those policies.
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Consideration of ancillary services in Screening Curve Method
2015 IEEE Power & Energy Society General Meeting, 2015Co-Authors: Tong Zhang, Ross BaldickAbstract:Screening Curve Method (SCM) is a simple, fast and powerful model that estimates the least-Cost Generation mix. Many developments have been proposed in recent years for SCM modeling. However, with more renewable resources being integrated into the grid, ancillary services' impact on Generation system becomes more and more crucial. This paper proposes two SCM based approaches for modeling the long-term impact of the ancillary services, targeting the least-Cost Generation mix. A co-optimized model and an ancillary services-only model are developed. Numerical calculations are included to demonstrate the effectiveness of the proposed models.
Roberto Passerone - One of the best experts on this subject based on the ideXlab platform.
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3dv an embedded dense stereovision based depth mapping system
Intelligent Vehicles Symposium, 2014Co-Authors: Gabriele Camellini, Mirko Felisa, Paolo Medici, Paolo Zani, Claudio Passerone, Francesco Gregoretti, Roberto PasseroneAbstract:This paper describes the architecture and hardware implementation of an embedded, low-Cost and low-power dense stereo reconstruction system, running at 30 fps at VGA resolution. The processing pipeline includes an initial image rectification stage, a Cost Generation unit based on the non-parametric census transform, a state-of-the-art Semi-Global Cost optimization stage, and a final minimization and noise suppression step. The hardware implementation is based on a Xilinx ZynqTM System-on-Chip, which besides the FPGA provides a physical dual-core ARM CPU, which is exploited for control and to deliver output over the integrated Gigabit Ethernet connection.
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Intelligent Vehicles Symposium - 3DV — An embedded, dense stereovision-based depth mapping system
2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014Co-Authors: Gabriele Camellini, Mirko Felisa, Paolo Medici, Paolo Zani, Claudio Passerone, Francesco Gregoretti, Roberto PasseroneAbstract:This paper describes the architecture and hardware implementation of an embedded, low-Cost and low-power dense stereo reconstruction system, running at 30 fps at VGA resolution. The processing pipeline includes an initial image rectification stage, a Cost Generation unit based on the non-parametric census transform, a state-of-the-art Semi-Global Cost optimization stage, and a final minimization and noise suppression step. The hardware implementation is based on a Xilinx ZynqTM System-on-Chip, which besides the FPGA provides a physical dual-core ARM CPU, which is exploited for control and to deliver output over the integrated Gigabit Ethernet connection.
Hoi-jun Yoo - One of the best experts on this subject based on the ideXlab platform.
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A 31.2pJ/disparity· pixel stereo matching processor with stereo SRAM for mobile UI application
2017 Symposium on VLSI Circuits, 2017Co-Authors: Jinsu Lee, Dongjoo Shin, Kyuho Jason Lee, Hoi-jun YooAbstract:An energy-efficient and high-speed stereo matching processor is proposed for smart mobile devices with proposed stereo SRAM (S-SRAM) and independent regional integral Cost (IRIC). Cost Generation unit (CGU) with the proposed S-SRAM reduces 63.2% of CGU power consumption. The proposed IRIC enables Cost aggregation unit (CAU) to obtain 6.4× of speed and 12.3% of the power reduction of CAU with pipelined integral Cost generator (PICG). The proposed stereo matching processor, implemented in 65nm CMOS process, achieves 82fps and 31.2pJ/disparity-pixel energy efficiency at 30fps. Its energy efficiency is improved by 77.6% compared to the state-of-the-art.
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ISCAS - A 43.7 mW 94 fps CMOS image sensor-based stereo matching accelerator with focal-plane rectification and analog census transformation
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2016Co-Authors: Changhyeon Kim, Kyeongryeol Bong, Sungpill Choi, Hoi-jun YooAbstract:The depth information is actively utilized for many applications such as mobile gesture user interface (UI). However, the previous stereo vision systems are unsuitable for the mobile gesture UI due to the long latency and the high-power consumption of external image sensor in embedded environments. In this paper, we propose a CMOS image sensor-based real-time stereo matching accelerator with low power consumption. For real-time operation, the focal-plane rectification is proposed to perform the image readout, the rectification, and the matching Cost Generation at the same time. Also, a low-power analog census transformation is implemented by simple comparator circuits. The proposed stereo matching CIS, implemented in 65nm CMOS technology, consumes 43.7 mW at 94.1 fps frame rate. It achieves 5.30×103 MDE/J energy efficiency.
C. Thangaraj - One of the best experts on this subject based on the ideXlab platform.
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Least Cost Generation expansion planning with solar power plant using Differential Evolution algorithm
Renewable Energy, 2016Co-Authors: K. Rajesh, A. Bhuvanesh, S. Kannan, C. ThangarajAbstract:The issue of balance between the benefits of greater renewable penetration with the Cost of adapting conventional base load systems is drawing the attention of power system planners across the globe. The study region, State of Tamilnadu, India, faces acute power shortages and frequent power cuts, though the installed capacity of the state is higher than the peak demand and is planning more solar additions. The impact of the inclusion of solar power plants is analyzed, for 6-year and 14-year planning horizons, using the model formulated, integrating all critical elements of the system, employing Differential Evolution (DE) algorithm. A balanced approach is adopted to understand the long term impact of solar additions by realistically imposing Total Emission Reductions Constraints (TERC), and Emission Treatment Penalty Costs (ETPC) on the remaining portion of pollution. The sensitivity of the system Generation mix and the system reliability, to different solar power development and emissions reduction scenarios is also studied. The resulting variations in different Cost components are also reported. The study will have greater utility for the planners who are currently involved in the long term planning of systems expected to have increasing proportion of RET plants.
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Least Cost Generation expansion planning with wind power plant incorporating emission using Differential Evolution algorithm
International Journal of Electrical Power & Energy Systems, 2016Co-Authors: K. Rajesh, S. Kannan, C. ThangarajAbstract:Abstract Generation Expansion Planning (GEP) is a challenging problem as both the supply and the demand for energy have temporal and spatial variations. It also involves the integration of system elements with a complex mix of alternative candidate plants having different physical and production capabilities and characteristics. The integration of all such elements in a system framework makes the GEP a large-scale, long-term, non-linear, mixed-variable mathematical modeling problem. The accurate solution of such realistic models is essential to create an efficient and economic power system. The aim of this study is to determine the GEP for the candidate system, integrating all critical system elements leading to the formulation of a realistic mathematical system and the employment of GEP in the model solutions. It also demonstrates the effectiveness of DE algorithm in finding efficient solutions to the identified problem. The planning is carried out for two different planning horizons of 6 and 14 years. An approach, which is balanced, is adopted to understand the long term impact of wind additions by imposing Total Emission Reductions Constraints (TERC) and Emission Treatment Penalty Costs (ETPC) on the remaining portion of pollution. As the system is expected to get an increasing proportion of wind power plants in future, a special focus is given to study the impact of such increase. The resulting variations in different Cost components including the emissions and the variations in reliability indices are also reported.
Matthew J. Memmott - One of the best experts on this subject based on the ideXlab platform.
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Economic comparison of current electricity generating technologies and advanced nuclear options
The Electricity Journal, 2017Co-Authors: James Richards, Piyush Sabharwall, Matthew J. MemmottAbstract:Abstract This analysis compares the Cost of various electric grid scenarios at the national level over a one-year period. Scenarios include high renewable, zero nuclear, zero carbon, and deployment of advanced nuclear. Additionally, several carbon tax scenarios are explored in the model to further assess the Cost Generation if the current nuclear fleet retired. The cheapest scenarios were those that involved less reliance on conventional nuclear reactors and more molten salt reactors, renewables, or natural gas.
